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Researcher
- Srikanth Yoginath
- Andrzej Nycz
- Chad Steed
- Chris Masuo
- James J Nutaro
- Junghoon Chae
- Luke Meyer
- Pratishtha Shukla
- Sudip Seal
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- Carter Christopher
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- Debraj De
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- Mark Loguillo
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- Nance Ericson
- Pablo Moriano Salazar
- Paul Abraham
- Peeyush Nandwana
- Peter Wang
- Polad Shikhaliev
- Rangasayee Kannan
- Samudra Dasgupta
- Shannon M Mahurin
- Sydney Murray III
- Tao Hong
- Theodore Visscher
- Todd Thomas
- Tomas Grejtak
- Tomonori Saito
- Varisara Tansakul
- Vasilis Tzoganis
- Vasiliy Morozov
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- Vilmos Kertesz
- Vladislav N Sedov
- Xiaohan Yang
- Xiuling Nie
- Yacouba Diawara
- Yang Liu
- Yiyu Wang
- Yun Liu

Often there are major challenges in developing diverse and complex human mobility metrics systematically and quickly.

Enzymes for synthesis of sequenced oligoamide triads and tetrads that can be polymerized into sequenced copolyamides.
Contact
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.

We presented a novel apparatus and method for laser beam position detection and pointing stabilization using analog position-sensitive diodes (PSDs).

ORNL has developed a large area thermal neutron detector based on 6LiF/ZnS(Ag) scintillator coupled with wavelength shifting fibers. The detector uses resistive charge divider-based position encoding.

A new nanostructured bainitic steel with accelerated kinetics for bainite formation at 200 C was designed using a coupled CALPHAD, machine learning, and data mining approach.

Neutron scattering experiments cover a large temperature range in which experimenters want to test their samples.

Digital twins (DTs) have emerged as essential tools for monitoring, predicting, and optimizing physical systems by using real-time data.

Simulation cloning is a technique in which dynamically cloned simulations’ state spaces differ from their parent simulation due to intervening events.

The QVis Quantum Device Circuit Optimization Module gives users the ability to map a circuit to a specific quantum devices based on the device specifications.

QVis is a visual analytics tool that helps uncover temporal and multivariate variations in noise properties of quantum devices.